Analytics Engineer

IAG; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

13%+ superannuation

20 days annual leave + 5 MyLeave

Remote work flexibility

Discounts on insurance

Learning & development access

IAG Academy access

Job summary

IAG in Sydney seeks an Analytics Engineer to design and maintain data pipelines that feed trusted reporting and analytics across the business. You’ll turn complex source data into reliable data products and apply AI-assisted engineering practices to boost productivity and quality.

This is a hands-on, build-focused role based in Gadigal Country (Darling Park 2, Sydney). You’ll work with data teams, partner with engineers and stakeholders, and contribute to delivery planning in a fast-moving

Qualifications

• Proven experience building data pipelines and models in complex enterprise environments.
• Strong SQL capability with BigQuery and dbt.
• Good understanding of data modelling and reporting/analytics consumption.
• Experience with CI/CD-enabled data engineering and production-grade pipelines.
• Familiarity with AI-assisted development and ML workflows to improve engineering outcomes.
• Clear communication and collaboration with technical and non-technical stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines for reporting and analytics.
• Develop and refine data models supporting reliable reporting across releases.
• Collaborate with Data teams to align data solutions with requirements and design.
• Review upstream data designs and assess impacts on downstream models.
• Partner with engineers and stakeholders to troubleshoot and evolve data structures.
• Contribute to delivery planning and program updates in a fast-moving environment.

Skills

SQL

BigQuery

dbt

Data modeling

CI/CD

AI-assisted development

Stakeholder collaboration

Financial services exposure

Tools

BigQuery

dbt

CI/CD tools

Job description

At IAG, we're ready for you. We're the largest general insurance group in Australia and New Zealand. Our family of brands turns the IAG purpose of making your world a safer place into action by helping everyday Aussies and New Zealanders, supporting their ambitions and making insurance accessible.

Play a hands-on role in building and maintaining the data foundations that power trusted reporting across the business. As an Analytics Engineer supporting Intermediate Insurance Australia’s large-scale enterprise data transformation, you'll focus on designing and delivering robust enhancement to the data pipelines and models that serve reporting, AI-enabled solutions and downstream analytics needs. You'll turn complex source data into well-structured, reliable data products and leverage modern AI assisted engineering practices to improve productivity, quality and delivery outcomes. This is a build-focused role for someone who enjoys shaping data flows, understanding how data fits together, and making sure data is ready to be used with confidence for reporting, analytics and emerging AI use cases.

This is a permanent role based in Gadigal Country (Darling Park 2, Sydney).

What You'll Do

• Design, build, and maintain scalable data pipelines that deliver high-quality data for reporting and analytics consumption.
• Develop and refine data models that support consistent, reliable reporting across multiple releases and timelines.
• Work closely with the Data teams to align data solutions with reporting requirements and broader platform design.
• Review upstream data designs and identify impacts on downstream data models and service layers.
• Partner with engineers, platform teams, and stakeholders to troubleshoot issues and evolve data structures.
• Contribute to delivery planning, stand‑ups, and program updates within a fast‑moving transformation environment.

What You'll Bring

• Proven experience building data pipelines and data models in complex enterprise environments.
• Strong SQL capability, with hands-on experience using modern data platforms such as BigQuery and dbt.
• Solid understanding of data modelling principles and how data is consumed for reporting and analytics.
• Experience working with CI/CD-enabled data engineering practices and production-grade pipelines.
• Experience in applying AI-assisted development practices, generative AI tools and machine learning workflows with a willingness to apply AI to improve engineering productivity and data outcomes.
• Clear communication skills and the ability to collaborate closely with technical and non-technical stakeholders.
• Exposure to financial services, insurance, or large transformation programs is desirable but not essential.

What We Offer

• Boosted superannuation with 13% as standard.
• 20 days annual leave + 5 days MyLeave (extra leave for what's important to you).
• Work from home and many more flexibility options with myFlex.
• Up to 50% off personal insurance, including home and motor insurance.
• Partner discounts on private health insurance, tech & appliances, and many more.
• Access to LinkedIn Learning, the award-winning IAG Academy, study assistance and secondment opportunities.

*employment type eligibility criteria apply

Adjustments and Support

If you require any support or adjustments to participate equitably in our recruitment process, we encourage you to reach out to ***********@iag.com.au for a confidential conversation.

More About Us

As part of IAG you'll enjoy a world of career opportunities, a purpose-led place focused on creating connection and belonging, and where you can create meaningful impact every day and grow your career beyond the expected. That's not just words. It's our people promise. We're ready for you with unexpected opportunities for your career, your work-life and your ability to make a difference. We celebrate all viewpoints shaped by life experiences and culture, and are guided by the knowledge and voice of Aboriginal and Torres Strait Islander peoples, businesses, and communities. We collaborate on Indigenous-led solutions that enable growth and create meaningful change for our customers and employees.